On 2/14/15, Matt Mahoney via AGI <[email protected]> wrote:
> The paper doesn't claim a polynomial time solution to the Hamiltonian
> path problem. What they did was solve one particular problem with 3
> nodes using bacterial DNA. The problem was to find a path from A to C
> given directed edges {A->B, B->C, A->C} that goes through all 3 nodes
> exactly once. The bacteria computed the solution is A->B->C. The
> authors note that the number of bacteria that would be needed to solve
> a problem with n nodes would grow as O(n!). It is only polynomial time
> in the sense that the population will grow exponentially, given enough
> food.
>
> The algorithm is to assign a DNA sequence for each node A, B, C, and
> to create DNA strings AB, BC, AC and their complements and let them
> combine with the constraint that the string starts with A and ends
> with C. One possible combination is AC by itself. Another is AB-BC. A
> solution will express the proteins A, B, and C exactly once each. A
> computation has to be able to test this. In the experiment, two of the
> proteins, A and B, fluoresce red and green respectively. If both are
> present, then the colony will glow yellow. To read the output, they
> collect the yellow bacteria and sequence its DNA.
>
> There is an additional complication that you need to insert a sequence
> into the middle of each protein that attracts an enzyme that cuts DNA,
> without destroying the function of the protein. The authors did this.
> You also need to encode a ribosome attracting promoter sequence ahead
> of the first node and a stop codon after the last. All of this has to
> be done in such a way that all possible sequences in the search space
> still result in viable organisms.
>
> Anyway, good luck using this approach to solving 3-SAT.
>

The main problem here -- what happens if you drop ur program!
Everybody dies of salmonella or e-coli.  I'm not trying to throw a
damper on this idea.

>
> On Sat, Feb 14, 2015 at 12:31 PM, John Rose via AGI <[email protected]>
> wrote:
>> Maybe we've been duped. Since bacteria have been around far longer than we
>> have and since really we are hosts for them and we developed from single
>> cell organisms perhaps... they essentially created us?  And we've been
>> designed to think that we are more intelligent for example how we thought
>> that the universe revolved around the earth and how we are the only
>> intelligent species, etc.. And when we die they eat us thus
>> reverse-subsuming that temporal superorganismic intelligence probe back
>> into their distributed knowledge hive. Essentially we're low entropy
>> injections into the environment from their uber organismic spread of
>> unicellular complexodynamical cogni-jelly.
>>
>> The more we learn the more we realize our insignificance and how godlike
>> they are thus reaching a new level of self-awareness that the unicellulars
>> are truly the first AGI designers and that general intelligence is
>> actually just a dog and pony show for their bacteriological
>> omni-intelligence.
>>
>> John
>>
>>> -----Original Message-----
>>> From: Jim Bromer via AGI [mailto:[email protected]]
>>> Sent: Thursday, February 12, 2015 9:31 PM
>>> To: AGI
>>> Cc: [email protected]
>>> Subject: Re: [agi] A Polynomial Time Solution to 3-SAT
>>>
>>> How about bacteria programming COBOL using my no-distinction-between-
>>> operand-and-operation computer language?
>>>
>>> Jim Bromer
>>>
>>>
>>> On Thu, Feb 12, 2015 at 6:47 PM, Mike Archbold <[email protected]>
>>> wrote:
>>> > computing with salmonella and e coli bacteria?
>>> >
>>> > And some of you ridicule COBOL!
>>> >
>>> > On 2/12/15, Jim Bromer via AGI <[email protected]> wrote:
>>> >> Microbes have reproduction constraints (complicated by food and waste
>>> >> constraints) and the idea that a colony of bacteria could work on
>>> >> successively more complicated graphs without running into
>>> >> surface/reproduction constraints is a little hard to believe. Even
>>> >> within a near future sci-fi system which includes modern micro
>>> >> plumbing and micro cafeterias and other stuff that would allow the
>>> >> system to work on more and more complicated problems the petri dish
>>> >> could not solve the problem. If the Hamilton Problem could be solved
>>> >> by breaking it into smaller parts it would not be (or no longer be) a
>>> >> np-complete problem would it?. So the number of microbes that could
>>> >> line the paths would be severely constrained.
>>> >> Jim Bromer
>>> >>
>>> >>
>>> >> On Thu, Feb 12, 2015 at 4:51 PM, Jim Bromer <[email protected]>
>>> wrote:
>>> >>>> Don't underestimate the complexity of chemical computation
>>> >>>> occurring with microorganisms such as bacteria. The more it's
>>> >>>> investigated the more underestimated the molecular sophistication
>>> seems...
>>> >>>>
>>> >>>> Also FYI it's shown that NP-complete problems can be solved with
>>> >>>> bacterial computers:
>>> >>>> http://www.jbioleng.org/content/3/1/11/abstract
>>> >>>>
>>> >>>> John
>>> >>>
>>> >>> Do you understand the basics of their claims? How was the desired
>>> >>> result represented? I mean I read the part about fluorescing both
>>> >>> red and green, but does that mean that the two colonies were on
>>> >>> either end of a 3-node directed path?  It doesn't quite make sense
>>> >>> to say that the bacterial computer can solve exponentially complex
>>> >>> problems does it? Is a 3-node directed graph really evidence of an
>>> >>> exponential to polynomial time solution, or is this really just an
>>> >>> initial feasibility test?
>>> >>> Jim Bromer
>>> >>>
>>> >>>
>>> >>> On Thu, Feb 12, 2015 at 3:21 PM, John Rose via AGI <[email protected]>
>>> >>> wrote:
>>> >>>>> -----Original Message-----
>>> >>>>> From: Matt Mahoney via AGI [mailto:[email protected]]
>>> >>>>>
>>> >>>>> 10^40 self replicating organisms over the last 3 billion years
>>> >>>>> have long since solved the problem of traveling over snow without
>>> >>>>> leaving footprints, but have failed to solve any NP-complete
>>> >>>>> problems.
>>> >>>>>
>>> >>>>
>>> >>>> Don't underestimate the complexity of chemical computation
>>> >>>> occurring with microorganisms such as bacteria. The more it's
>>> >>>> investigated the more underestimated the molecular sophistication
>>> seems...
>>> >>>>
>>> >>>> Also FYI it's shown that NP-complete problems can be solved with
>>> >>>> bacterial computers:
>>> >>>> http://www.jbioleng.org/content/3/1/11/abstract
>>> >>>>
>>> >>>> John
>>> >>>>
>>> >>>>
>>> >>>>
>>> >>>>
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>
>
> --
> -- Matt Mahoney, [email protected]
>
>
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